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A pilot study of ion current estimation by ANN from action potential waveforms
(Journal of Biological Physics, 2022)
Experiments using conventional experimental approaches to capture the dynamics of ion
channels are not always feasible, and even when possible and feasible, some can be timeconsuming. In this work, the ionic current–time ...
Classification of diabetic cardiomyopathy-related cells using machine learning
(Moscow University Physics Bulletin, 2022)
The patch-clamp technique is a significant tool in current electrophysiology research, especially
in cardiovascular diseases, because it can capture electrical activity of the heart from cardiomyocytes. It
is challenging ...
Estimating currents from action potentials using single and multi-output neural network models
(Second International Congress on Biological and Health Sciences, 2022)
Ion channels are water-filled pores formed by membrane proteins abundant in excitable cells' plasma
membranes. Ion channels are responsible for converting signals into biological responses. They are primarily
engaged in ...